Won Noh

716 citations
18 papers · 534 · h-index 10

Impact in

  • Biomaterials top 10%
    • biodegradable polymer synthesis and properties
  • Biochemistry top 10%
    • Amino Acid Enzymes and Metabolism

Papers in

    • Enzyme Catalysis and Immobilization 4
    • Microbial Metabolic Engineering and Bioproduction 4
    • Biopolymer Synthesis and Applications 2

Won Noh

15 papers receiving 524 citations

Peers

Won Noh
Comparison fields: 5 of 65
  • Biomaterials 114
  • Biochemistry 50
  • Process Chemistry and Technology 17
  • Molecular Biology 353
  • Pollution 43
Replace Outi Koivistoinen with:
Outi Koivistoinen Finland
Kangming Tian China
Dong In Kim South Korea
Jan Hendrik Wübbeler Germany
Laura Salusjärvi Finland
Stefanie Kind Germany
Hyeongmin Seo South Korea
Zhongxue Dai China
France Thévenieau France
Won Noh relative to Outi Koivistoinen Finland Outi Koivistoinen's profile →
Citations per field
00.5×1.5×2.3×
Outi Koivistoinen · 1×
Citations per year

Countries citing papers authored by Won Noh

Since Specialization
Citations

This map shows the geographic impact of Won Noh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Won Noh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won Noh more than expected).

Fields of papers citing papers by Won Noh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Noh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Won Noh. The network helps show where Won Noh may publish in the future.

Co-authors

The 25 scholars most cited alongside Won Noh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Won Noh Line = papers co-authored together Won Noh links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2012140
2 2012116
3 201471
4 201461
5 201934
6 201725
7 201622
8 200820
9 201019
10 201815
11 20193
12 20243
13 20192
14
Microbial Cell Factory for C5 Platform Chemicals: Aminovalerate and Glutarate
20161
15 20181
16 20211
17 20250
18 20250

About Won Noh

Won Noh is a scholar working on Molecular Biology, Pollution, Plant Science, Renewable Energy, Sustainability and the Environment and Health, Toxicology and Mutagenesis, having authored 18 papers that have together received 534 indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (4 papers), Algal biology and biofuel production (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), T-cell and B-cell Immunology (2 papers), Aquatic Ecosystems and Phytoplankton Dynamics (2 papers), CAR-T cell therapy research (2 papers), Fungal Biology and Applications (2 papers) and Biopolymer Synthesis and Applications (2 papers). The work is most often cited by research in Biomaterials (114 citations), Biochemistry (50 citations), Process Chemistry and Technology (17 citations), Molecular Biology (353 citations) and Pollution (43 citations). Won Noh has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Si Jae Park, Young Hoon Oh, Jonggeon Jegal, Bong Keun Song, Eun Young Kim, Seung Hwan Lee, Sang Yup Lee, Seung Hwan Lee, Hye Min Park and Hye Young Kim. Their work appears in journals such as Toxics, Bioprocess and Biosystems Engineering, Bioresource Technology, Metabolic Engineering and Ecotoxicology and Environmental Safety.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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